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| A Two-layer Encoding Learning Swarm Optimizer based on Frequent Itemsets for Sparse Large-scale Multi-objective Optimization 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1342-1357 作者: Sheng Qi; Rui Wang; Tao Zhang; Xu Yang; Ruiqing Sun; Ling Wang Adobe PDF(3038Kb)  |  收藏  |  浏览/下载:9/2  |  提交时间:2024/05/22 Evolutionary algorithms learning swarm optimization sparse large-scale optimization sparse large-scale multi-objective problems two-layer encoding |
| Mapping Network-coordinated Stacked Gated Recurrent Units for Turbulence Prediction 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1331-1341 作者: Zhiming Zhang; Shangce Gao; MengChu Zhou; Mengtao Yan; Shuyang Cao Adobe PDF(7172Kb)  |  收藏  |  浏览/下载:6/3  |  提交时间:2024/05/22 Convolutional neural network deep learning recurrent neural network turbulence prediction wind load prediction |
| The Journey/DAO/TAO of Embodied Intelligence: From Large Models to Foundation Intelligence and Parallel Intelligence 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1313-1316 作者: Tianyu Shen; Jinlin Sun; Shihan Kong; Yutong Wang; Juanjuan Li; Xuan Li; Fei-Yue Wang Adobe PDF(682Kb)  |  收藏  |  浏览/下载:4/1  |  提交时间:2024/05/22 |
| A Data-Driven Real-Time Trajectory Planning and Control Methodology for UGVs Using LSTMRDNN 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1292-1294 作者: Kaiyuan Chen; Runqi Chai; Runda Zhang; Zhida Xing; Yuanqing Xia; Guoping Liu Adobe PDF(854Kb)  |  收藏  |  浏览/下载:42/13  |  提交时间:2024/04/10 |
| Computational Experiments for Complex Social Systems: Integrated Design of Experiment System 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1175-1189 作者: Xiao Xue; Xiangning Yu; Deyu Zhou; Xiao Wang; Chongke Bi; Shufang Wang; Fei-Yue Wang Adobe PDF(11890Kb)  |  收藏  |  浏览/下载:32/4  |  提交时间:2024/04/10 Artificial society computational experiments model integration operation engine technology integration |
| Visual Semantic Segmentation Based on Few/Zero-Shot Learning: An Overview 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1106-1126 作者: Wenqi Ren; Yang Tang; Qiyu Sun; Chaoqiang Zhao; Qing-Long Han Adobe PDF(12695Kb)  |  收藏  |  浏览/下载:21/2  |  提交时间:2024/04/10 Computer vision deep learning few-shot learning low-shot learning semantic segmentation zero-shot learning |
| Evolutionary Optimization Methods for High-Dimensional Expensive Problems: A Survey 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1092-1105 作者: MengChu Zhou; Meiji Cui; Dian Xu; Shuwei Zhu; Ziyan Zhao; Abdullah Abusorrah Adobe PDF(2100Kb)  |  收藏  |  浏览/下载:19/3  |  提交时间:2024/04/10 Evolutionary algorithm (EA) high-dimensional expensive problems (HEPs) industrial applications surrogate-assisted optimization |
| Intuitive Human-Robot-Environment Interaction With EMG Signals: A Review 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1075-1091 作者: Dezhen Xiong; Daohui Zhang; Yaqi Chu; Yiwen Zhao; Xingang Zhao Adobe PDF(5061Kb)  |  收藏  |  浏览/下载:28/7  |  提交时间:2024/04/10 Electromyography human-robot-environment interaction (HREI) human-robot interaction (HRI) semiautonomous sensory feedback |
| Finite-time Prescribed Performance Time-Varying Formation Control for Second-Order Multi-Agent Systems With Non-Strict Feedback Based on a Neural Network Observer 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 1039-1050 作者: Chi Ma; Dianbiao Dong Adobe PDF(3531Kb)  |  收藏  |  浏览/下载:63/17  |  提交时间:2024/03/18 Finite-time control multi-agent systems neural network prescribed performance control time-varying formation control |
| Computational Experiments for Complex Social Systems: Experiment Design and Generative Explanation 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 1022-1038 作者: Xiao Xue; Deyu Zhou; Xiangning Yu; Gang Wang; Juanjuan Li; Xia Xie; Lizhen Cui; Fei-Yue Wang Adobe PDF(7239Kb)  |  收藏  |  浏览/下载:37/8  |  提交时间:2024/03/18 Agent-based modeling computational experiments cyber-physical-social systems (CPSS) generative deduction generative experiments meta model |